Probability, causality and the empirical world: a Bayes-de Finetti-Popper-Borel synthesis

DOI10.1214/088342304000000125zbMath1077.60003OpenAlexW2130529909WikidataQ59631790 ScholiaQ59631790MaRDI QIDQ1766314

A. Philip Dawid

Publication date: 7 March 2005

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/088342304000000125

zbMATH Keywords

calibrationfalsificationJeffreys's lawBorel criterion

Mathematics Subject Classification ID

Foundations of probability theory (60A99)

Related Items

Model-free model-fitting and predictive distributions, De Finetti's theorem for abstract finite exchangeable sequences, Harold Jeffreys's \textit{Theory of probability} revisited, Merging of opinions in game-theoretic probability, On individual risk, Comment: Complex causal questions require careful model formulation: Discussion of Rubin on experiments with ``censoring due to death, Leading strategies in competitive on-line prediction, How about wearing two hats, first Popper's and then de Finetti's?, Reconciling the subjective and objective aspects of probability, Rejoinder: Concert unlikely, ``Jugalbandi perhaps

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